Identification of the key regulating genes of diminished ovarian reserve (DOR) by network and gene ontology analysis.

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Enhancement of anticancer activity by silibinin and paclitaxel combination on the ovarian cancer.Integration of machine learning and meta-analysis identifies the transcriptomic bio-signature of mastitis disease in cattle.

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P2860

Identification of the key regulating genes of diminished ovarian reserve (DOR) by network and gene ontology analysis.

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2016 nî lūn-bûn

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2016年の論文

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Identification of the key regu ...... rk and gene ontology analysis.

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Identification of the key regu ...... rk and gene ontology analysis.

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Identification of the key regu ...... rk and gene ontology analysis.

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Identification of the key regu ...... rk and gene ontology analysis.

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Mansour Ebrahimi

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Abortive expansion of the cumulus and impaired fertility in mice lacking the prostaglandin E receptor subtype EP(2)

Gene ontology: tool for the unification of biology

KEGG: kyoto encyclopedia of genes and genomes

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions

MicroRNA transcriptome in the newborn mouse ovaries determined by massive parallel sequencing

Gigantism in mice lacking suppressor of cytokine signalling-2

Premature luteinization and cumulus cell defects in ovarian-specific Smad4 knockout mice

Lack of Socs2 expression causes the high-growth phenotype in mice

Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners

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s11033-016-4025-8

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923-937

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scholarly article

meta-analysis

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10.1007/S11033-016-4025-8

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Maryam Pashaiasl

Esmaeil Ebrahimie

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2016-06-20T00:00:00Z

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1017307188

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ontology

Identification of the key regulating genes of diminished ovarian reserve (DOR) by network and gene ontology analysis.

about

P2860

P2860

Identification of the key regulating genes of diminished ovarian reserve (DOR) by network and gene ontology analysis.

description

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